Incremental bearing fault diagnosis method under imbalanced sample conditions

Gezhi Liu; Lifeng Wu

doi:10.1016/j.cie.2024.110203

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JOURNAL ARTICLE

Incremental bearing fault diagnosis method under imbalanced sample conditions

Gezhi Liu Lifeng Wu

Year: 2024 Journal: Computers & Industrial Engineering Vol: 192 Pages: 110203-110203 Publisher: Elsevier BV

DOI: 10.1016/j.cie.2024.110203

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Keywords:

Fault (geology) Computer science Sample (material) Artificial intelligence Sampling (signal processing) Fault detection and isolation Data mining Process (computing) Machine learning Bearing (navigation) Sample size determination Classifier (UML) Set (abstract data type) Pattern recognition (psychology) Mathematics Statistics Computer vision

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Topics

Machine Fault Diagnosis Techniques

Physical Sciences → Engineering → Control and Systems Engineering

Gear and Bearing Dynamics Analysis

Physical Sciences → Engineering → Mechanical Engineering

Engineering Diagnostics and Reliability

Physical Sciences → Engineering → Mechanics of Materials

Incremental bearing fault diagnosis method under imbalanced sample conditions

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